I thought that the recently released International Scientific Report on the Safety of Advanced AI seemed like a pretty good summary of the state of the field on AI risks, in addition to being about as close to a statement of expert consensus as we're likely to get at this point. I noticed that each section of the report has a useful "Key Information" bit with a bunch of bullet points summarizing that section.

So for my own use as well as perhaps the use of others, and because I like bullet-point summaries, I've copy-pasted all the "Key Information" lists here.

1 Introduction

[Bullet points taken from the “About this report” part of the Executive Summary]

• This is the interim publication of the first ‘International Scientific Report on the Safety of Advanced AI’. A diverse group of 75 artificial intelligence (AI) experts contributed to this report, including an [...]

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Outline:

(00:38) 1 Introduction

(02:54) 2 Capabilities

(02:58) 2.1 How does General-Purpose AI gain its capabilities?

(04:05) 2.2 What current general-purpose AI systems are capable of

(05:08) 2.3 Recent trends in capabilities and their drivers

(06:21) 2.4 Capability progress in coming years

(08:19) 3 Methodology to assess and understand general-purpose AI systems

(10:38) 4 Risks

(10:42) 4.1 Malicious use risks

(10:46) 4.1.1 Harm to individuals through fake content

(11:13) 4.1.2 Disinformation and manipulation of public opinion

(11:53) 4.1.3 Cyber offence

(12:30) 4.1.4 Dual use science risks

(13:42) 4.2 Risks from malfunctions

(13:47) 4.2.1 Risks from product functionality issues

(14:29) 4.2.2 Risks from bias and underrepresentation

(15:07) 4.2.3 Loss of control

(16:44) 4.3 Systemic risks

(16:49) 4.3.1 Labour market risks

(17:52) 4.3.2 Global AI divide

(18:34) 4.3.3 Market concentration risks and single points of failure

(19:26) 4.3.4 Risks to the environment

(19:46) 4.3.5 Risks to privacy

(20:25) 4.3.6 Copyright infringement

(21:10) 4.4 Cross-cutting risk factors

(21:15) 4.4.1 Cross-cutting technical risk factors

(22:47) 4.4.2 Cross-cutting societal risk factors

(23:33) 5 Technical approaches to mitigate risks

(23:38) 5.1 Risk management and safety engineering

(24:48) 5.2 Training more trustworthy models

(26:28) 5.3 Monitoring and intervention

(28:00) 5.4 Technical approaches to fairness and representation in general-purpose AI systems

(29:44) 5.5 Privacy methods for general-purpose AI systems

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First published:

Source:

Narrated by TYPE III AUDIO.